Skills Required
Skills Required
Advanced analytical skills with strong experience in data engineering, analytics, and visualisation (Power BI / Tableau / Looker / similar).
Experience building realtime dashboards and automated reporting pipelines.
Strong statistics and causal inference fundamentals (A/B, differenceindifferences, interrupted time series, propensity scoring where required) to measure impact and ROI.
Experience in timeseries and forecasting techniques (ARIMA, ETS, or machinelearning approaches as appropriate) and anomaly detection.
Solid SQL and a scripting language (Python or R) for data transformation and modelling.
Strong data governance mindset ability to define standards and enforce data quality.
Excellent stakeholder communication translate complex analyses into short, operational recommendations for nontechnical audiences.
Ability to build training materials and run handson capacitybuilding sessions.Experience Required
Experience Required
4–7+ years of data / analytics experience, ideally in a regional role covering multiple countries or markets.
Demonstrable track record of turning fragmented datasets into operational dashboards that drove measurable decisions and outcomes.
Experience supporting sales or commercial teams with data and analytics.
Experience measuring ROI of marketing, sales, or programme interventions and presenting findings to senior stakeholders.
Experience working with country teams in lowtomiddle income settings and handling irregular or incomplete data flows.
Familiarity with commercial / sales metrics, distribution data, and basic public health programme indicators is desirable.